medops-rag (zureealLV/medops-rag) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 3 tools. No publisher has claimed this listing.

Emerging

74/100

medops-rag

Item: medops-rag
Rating: 74
Author: M8ven

可审计、多租户的企业知识库问答 Agent：多模态文档解析、SQLite FTS5 混合检索、LangGraph 受控编排、MCP、来源引用、拒答与 Vue 3 控制台。

→ zureealLV/medops-rag · listed on github_repo_search

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

zureealLV

Source: github_repo_search

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 2 credentials: MODEL_API_KEY, DEEPSEEK_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// environment variables

To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.

configAPP_ENV

configLOG_LEVEL

configAUTH_MODE

configPOLICY_PROFILE默认 =enterprise，由租户范围内的检索证据决定能否回答；切换为 medical 后额外拒绝医疗建议、诊断、处方和明显域外请求。

configRETRIEVAL_THRESHOLD

configRETRIEVAL_KEYWORD_THRESHOLD

configRETRIEVAL_DENSE_THRESHOLD

configCHUNK_SIZE

configCHUNK_OVERLAP

configPARENT_CHUNK_SIZE

configCHILD_CHUNK_SIZE

configCHILD_CHUNK_OVERLAP

configTEXT_EMBEDDING_ENABLED

configHYDE_AUTO_ENABLED

configMAX_UPLOAD_BYTES

configMAX_IMAGE_PIXELS

configMAX_ARCHIVE_ENTRIES

configMAX_ARCHIVE_UNCOMPRESSED_BYTES

configMAX_ARCHIVE_ENTRY_BYTES

configMAX_ARCHIVE_COMPRESSION_RATIO

configMAX_PDF_PAGES

configOCR_ENABLED

configOCR_MIN_CONFIDENCE

configIMAGE_EMBEDDING_ENABLED

configIMAGE_EMBEDDING_MODEL

configIMAGE_TEXT_EMBEDDING_MODEL

configMODEL_CACHE_DIR

configVISUAL_SIMILARITY_THRESHOLD

configVISUAL_SIMILARITY_MARGIN

🔐 secretMODEL_API_KEY默认使用离线抽取式回答。若使用 OpenAI-compatible Provider，请复制 .env.example 为 .env，设置、MODEL_BASE_URL 与 MODEL_NAME，不要提交 .env。已有外部 DeepSeek dotenv 文件时可直接复用：

🔐 secretDEEPSEEK_API_KEY

configMODEL_BASE_URL默认使用离线抽取式回答。若使用 OpenAI-compatible Provider，请复制 .env.example 为 .env，设置 MODEL_API_KEY、与 MODEL_NAME，不要提交 .env。已有外部 DeepSeek dotenv 文件时可直接复用：

configMODEL_NAME默认使用离线抽取式回答。若使用 OpenAI-compatible Provider，请复制 .env.example 为 .env，设置 MODEL_API_KEY、MODEL_BASE_URL 与，不要提交 .env。已有外部 DeepSeek dotenv 文件时可直接复用：

configMODEL_VISION_ENABLED

configMODEL_MAX_VISUAL_IMAGES

configMODEL_MAX_VISUAL_BYTES

configMODEL_TIMEOUT_SECONDS

configMODEL_REQUEST_DEADLINE_SECONDS

configMODEL_MAX_RETRIES

configMODEL_RETRY_BASE_DELAY_SECONDS

configMODEL_RETRY_MAX_DELAY_SECONDS

configMODEL_RETRY_JITTER_RATIO

configMODEL_RETRY_AFTER_MAX_SECONDS

configMODEL_RETRY_BUDGET_GLOBAL_CAPACITY

configMODEL_RETRY_BUDGET_GLOBAL_REFILL_PER_SECOND

configMODEL_RETRY_BUDGET_PER_TENANT_CAPACITY

configMODEL_RETRY_BUDGET_PER_TENANT_REFILL_PER_SECOND

configMODEL_MAX_CONCURRENCY

configMODEL_MAX_CONCURRENCY_PER_TENANT

configMODEL_MAX_QUEUE_WAITERS

configMODEL_MAX_QUEUE_WAITERS_PER_TENANT

configMODEL_QUEUE_TIMEOUT_SECONDS

configMODEL_OVERLOAD_RETRY_AFTER_SECONDS

configMODEL_CIRCUIT_FAILURE_THRESHOLD

configMODEL_CIRCUIT_RECOVERY_SECONDS

configMODEL_SHUTDOWN_TIMEOUT_SECONDS

configSUMMARY_MODEL_TIMEOUT_SECONDS

configHF_HUB_OFFLINE

configTRANSFORMERS_OFFLINE

configHF_HUB_DISABLE_TELEMETRY

configBENCHMARK_REDIS_URL

Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.

deployDATABASE_URL

// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

3/3 tools missing one or more hints — list_knowledge_bases (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); rag_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); rag_answer (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail

The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.

// improvement guidance — verified publishers only

We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/zureeallv/medops-rag)](https://m8ven.ai/mcp/zureeallv/medops-rag)

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commit: 9ae961e6ad9d29e68c51ba897722a5398eec0fe0

code hash: d91a58d0efe5af360873571f9b5a2b4610f3e9d1641b6386f8e36ada3aa871d2

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